Modeling the Architecture of Multi-Component Information Support for BIM Systems

The article addresses the modeling of multi-component information architecture (MCIA) for BIM systems, which is highly relevant in the context of the digital transformation of the construction industry. The key structural components of modern BIM platforms are described, including modules for geospatial data processing, centralized model repositories, and analytical services. It is shown that modular organization and the decomposition of functionality into independent services ensure scalability, flexibility, and integration of cloud computing and specialized tools. The article presents examples of successful BIM implementations, demonstrating reduced errors and costs as well as improved project quality. Major challenges are identified, such as high qualification requirements for specialists, integration with legacy systems, and the need to process large data volumes. The importance of standardization and the development of open protocols for the further evolution of BIM systems is emphasized, along with the prospects for integrating artificial intelligence and automating lifecycle management of construction objects.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.47813/rosnio.4.2025.1007
Primary Topic
BIM and Construction Integration
Type
article
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article

Modeling the Architecture of Multi-Component Information Support for BIM Systems

P.V. Endutkin
BIM and Construction Integration
article

Modeling the Architecture of Multi-Component Information Support for BIM Systems

P.V. Endutkin
article en

Abstract

The article addresses the modeling of multi-component information architecture (MCIA) for BIM systems, which is highly relevant in the context of the digital transformation of the construction industry. The key structural components of modern BIM platforms are described, including modules for geospatial data processing, centralized model repositories, and analytical services. It is shown that modular organization and the decomposition of functionality into independent services ensure scalability, flexibility, and integration of cloud computing and specialized tools. The article presents examples of successful BIM implementations, demonstrating reduced errors and costs as well as improved project quality. Major challenges are identified, such as high qualification requirements for specialists, integration with legacy systems, and the need to process large data volumes. The importance of standardization and the development of open protocols for the further evolution of BIM systems is emphasized, along with the prospects for integrating artificial intelligence and automating lifecycle management of construction objects.

Openalex Percentile: Top 87%
BIM and Construction Integration
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Modeling the Architecture of Multi-Component Information Support for BIM Systems — P.V. Endutkin · (2025) | TGRS Research Map | TGRS